Your search found 61 records
1 Low, P. S. 2005. Climate change and Africa. Cambridge, UK: Cambridge University Press. 369p.
(Location: IWMI HQ Call no: 577.22 G100 LOW Record No: H047089)
(0.33 MB)
2 Wijenayake, V. 2014. Addressing climate change in South Asia, with more focus on children. Soba Parisara Prakashanaya, 23(2):27-29.
(Location: IWMI HQ Call no: P 8158 Record No: H047160)
(1.02 MB)
3 Chartres, Colin. 2012. Jalagelem avadanama pahatha helema. In Sinhalese. [Reducing the risk of flooding due to global warming]. Vyaparika Handa, 2(3):34-35.
(Location: IWMI HQ Call no: P 8161 Record No: H047271)
(1.31 MB)
4 Pavelic, Paul; Brindha, Karthikeyan; Amarnath, Giriraj; Eriyagama, Nishadi; Muthuwatta, Lal; Smakhtin, Vladimir; Gangopadhyay, Prasun K.; Malik, Ravinder Paul Singh; Mishra, Atmaram; Sharma, Bharat R.; Hanjra, Munir A.; Reddy, R. V.; Mishra, V. K.; Verma, C. L.; Kant, L. 2015. Controlling floods and droughts through underground storage: from concept to pilot implementation in the Ganges River Basin. Colombo, Sri Lanka: International Water Management Institute (IWMI). 33p. (IWMI Research Report 165) [doi: https://doi.org/10.5337/2016.200]
(Location: IWMI HQ Call no: IWMI Record No: H047460)
(1 MB)
The concept of ‘Underground Taming of Floods for Irrigation’ (UTFI) is introduced as an approach for co-managing floods and droughts at the river basin scale. UTFI involves strategic recharge of aquifers upstream during periods of high flow, thereby preventing local and downstream flooding, and simultaneously providing additional groundwater for irrigation during the dry season for livelihood improvement. Three key stages in moving UTFI from the concept stage to mainstream implementation are discussed. An analysis of prospects in the Ganges River Basin are revealed from the earliest stage of mapping of suitability at the watershed level through to the latest stages of identifying and setting up the first pilot trial in the Upper Ganges, where a comprehensive evaluation is under way. If UTFI can be verified then there is enormous potential to apply it to address climate change adaptation/mitigation and disaster risk reduction challenges globally.
(Location: IWMI HQ Call no: e-copy only Record No: H048048)
(2.75 MB)
Flood early warning systems play a major role in the disaster risk reduction paradigm as cost-effective methods to mitigate flood disaster damage. The connections and feedbacks between the hydrological and social spheres of early warning systems are increasingly being considered as key aspects for successful flood mitigation. The behavior of the public and first responders during flood situations, determined by their preparedness, is heavily influenced by many behavioral traits such as perceived benefits, risk awareness, or even denial. In this study, we use the recency of flood experiences as a proxy for social preparedness to assess its impact on the efficiency of flood early warning systems through a simple stylized model and implemented this model using a simple mathematical description. The main findings, which are based on synthetic data, point to the importance of social preparedness for flood loss mitigation, especially in circumstances where the technical forecasting and warning capabilities are limited. Furthermore, we found that efforts to promote and preserve social preparedness may help to reduce disaster-induced losses by almost one half. The findings provide important insights into the role of social preparedness that may help guide decision-making in the field of flood early warning systems.
(Location: IWMI HQ Call no: e-copy only Record No: H048446)
(2.25 MB)
Capturing inundation extent by floods is indispensable for decision making for mitigating hazard. Satellite images have commonly been used for flood mapping, but there are limitations such as unavailability due to satellite’s orbital period or cloud cover. Additionally, it would also be beneficial for policy makers to figure out the impact of water management measures such as water storage options on flood mitigation and irrigation water strengthening. Utilization of flood inundation models would support providing information for these demands. In this study, the rainfall–runoff inundation (RRI) model was applied in a flood-prone basin in eastern Sri Lanka, and its applicability was discussed. The RRI model was capable of simulating discharge and inundation extent during flood events, although it should be noted that the model had been calibrated targeting only the flooding period. Satellite-observed rainfall data corrected with a scale factor were able to be used as the model input to simulate long-term trends in runoff just as well as when gauged rainfall data were applied. The calibrated model was also capable of evaluating flood mitigation effects of existing and proposed water storage options by simulating discharge with and without flood capture operations. By reproducing long-term inflow to the storage facilities using satellite rainfall data, it was possible to determine that water would reach the maximum level of the proposed storage facilities even during low-rainfall years.
(Location: IWMI HQ Call no: e-copy only Record No: H049087)
(985 KB)
Southern Africa is highly vulnerable to drought because of its dependence on climate-sensitive sectors of agriculture, hydroenergy and fisheries. Recurring droughts continue to impact rural livelihoods and degrade the environment. Drought severity in southern Africa is exacerbated by poor levels of preparedness and low adaptive capacity. Whilst weather extremes and hazards are inevitable, the preparedness to manage such hazards determines their impact and whether they become disasters. Southern Africa is often caught unprepared by drought as existing early warning systems lack the drought forecasting component, which often results in reactionary interventions as opposed to well-planned and proactive response mechanisms. This study assesses the spatio-temporal changes of rainfall and aridity in southern Africa through an analysis of long-term precipitation and evaporation trends from 1960 to 2007. Stakeholder consultation was conducted in Madagascar, Malawi, Zambia and Zimbabwe during the peak of the 2015/16 drought, focusing on overall drought impacts, current water resource availability, existing early warning systems, adaptation mechanisms and institutional capacity to mitigate and manage droughts as part of overall disaster risk reduction strategies. Average rainfall has decreased by 26% in the region between 1960 and 2007, and aridity has increased by 11% between 1980 and 2007. The absence of drought forecasting and lack of institutional capacity to mitigate drought impede regional drought risk reduction initiatives. Existing multi-hazard early warning systems in the region focus on flooding and drought monitoring and assessment. Drought forecasting is often not given due consideration, yet it is a key component of early warning and resilience building. We propose a regional drought early warning framework, emphasising the importance of both monitoring and forecasting as being integral to a drought early warning system and building resilience to drought.
8 Liyanaarachchi, P. 2017. Sri Lankawe ganwathura upadrawaya: kriyawaliya, balapema ha kalamanakaranaya. In Sinhalese. [Flood hazard in Sri Lanka: process, impact and management]. Kaduwela, Sri Lanka: Author. 161p.
(Location: IWMI HQ Call no: 627.4 G744 LIY Record No: H049109)
(0.56 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H049177)
(7.26 MB) (7.26 MB)
(Location: IWMI HQ Call no: e-copy only Record No: H049379)
(0.77 MB) (792 KB)
(Location: IWMI HQ Call no: e-copy only Record No: H049457)
(28.30 MB) (28.3 MB)
(Location: IWMI HQ Call no: e-copy SF Record No: H049478)
13 Perera, D.; Smakhtin, V.; Pischke, F.; Ohara, M.; Findikakis, A.; Werner, M.; Amarnath, Giriraj; Koeppel, S.; Plotnykova, H.; Hulsmann, S.; Caponi, C. 2020. Water-related extremes and risk management. In UNESCO World Water Assessment Programme (WWAP); UN-Water. The United Nations World Water Development Report 2020: water and climate change. Paris, France: UNESCO. pp.58-67.
(Location: IWMI HQ Call no: e-copy only Record No: H049602)
(3.17 MB) (37.7 MB)
This chapter focuses on the linkages between climate change adaptation and disaster risk reduction, highlighting opportunities to build more resilient systems through a combination of 'hard' and 'soft' measures.
14 Kjellen, M.; White, M.; Matthews, J.; Mauroner, A.; Timboe, I.; Burchi, S.; Dhot, N.; van Waeyenberge, T.; El Fenni, Y. R.; Lohani, A.; Newton, J.; Imamura, Y.; Miyamoto, M.; Moors, E.; de Oliveira, V. G.; Schmeier, S.; Crespo, C. C.; Gutierrez, M. T.; Welling, R.; Suhardiman, Diana; Hada, R.; Saji, M.; Jimenez, A.; Lymer, B. L.; Saikia, P.; Mathews, R.; Bernardini, F.; Koeppel, S.; Aureli, A.; Resende, T. C.; Avellan, T.; Hahn, A.; Kirschke, S. J.; Perera, D.; Loeffen, A.; Turner, R.; Pories, L.; Aldaco-Manner, L.; Daher, B.; Willemart, S.; Schillinger, J. 2020. Water governance for resilience to climate change. In UNESCO World Water Assessment Programme (WWAP); UN-Water. The United Nations World Water Development Report 2020: water and climate change. Paris, France: UNESCO. pp.150-159.
(Location: IWMI HQ Call no: e-copy only Record No: H049605)
(1.77 MB) (37.7 MB)
This chapter outlines legal, institutional and political means to support climate change adaptation and mitigation, to enhance resilience, and to reduce vulnerability through more inclusive water management, especially at the country level.
15 Elijah, V. T.; Odiyo, J. O. 2020. Perception of environmental spillovers across scale in climate change adaptation planning: the case of small-scale farmers’ irrigation strategies, Kenya. Climate, 8(1):3. (Special issue: Climate Change in Complex Systems: Effects, Adaptations, and Policy Considerations for Agriculture and Ecosystems) [doi: https://doi.org/10.3390/cli8010003]
(Location: IWMI HQ Call no: e-copy only Record No: H049624)
(0.70 MB) (712 KB)
The failure to acknowledge and account for environmental externalities or spillovers in climate change adaptation policy, advocacy, and programming spaces exacerbate the risk of ecological degradation, and more so, the degradation of land. The use of unsuitable water sources for irrigation may increase salinisation risks. However, few if any policy assessments and research efforts have been directed at investigating how farmer perceptions mediate spillovers from the ubiquitous irrigation adaptation strategy. In this study, the cognitive failure and/or bias construct is examined and proposed as an analytical lens in research, policy, and learning and the convergence of disaster risk reduction and climate change adaptation discourses. A cross-sectional survey design and multistage stratified sampling were used to collect data from 69 households. To elicit the environmental impacts of irrigation practices, topsoil and subsoils from irrigated and non-irrigated sites were sampled and analysed using AAS (atomic absorption spectrophotometer). A generalised linear logistic weight estimation procedure was used to analyse the perception of risks while an analysis of variance (ANOVA) was used to analyse changes in exchangeable sodium percentage (ESP). The findings from small-scale farmers in Machakos and Kakamega counties, Kenya, suggest multifaceted biases and failures about the existence and importance of externalities in adaptation planning discourses. Among other dimensions, a cognitive failure which encompasses fragmented approaches among institutions for use and management of resources, inadequate policy. and information support, as well as the poor integration of actors in adaptation planning accounts for adaptation failure. The failures in such human–environment system interactions have the potential to exacerbate the existing vulnerability of farmer production systems in the long run. The findings further suggest that in absence of risk message information dissemination, education level, farming experience, and information accumulation, as integral elements to human capital, do not seem to have a significant effect on behaviour concerning the mitigation of environmental spillovers. Implicitly, reversing the inherent adaptation failures calls for system approaches that enhance coordinated adaptation planning, prioritise the proactive mitigation of slow-onset disaster risks, and broadens decision support systems such as risk information dissemination integration, into the existing adaptation policy discourses and practice
(Location: IWMI HQ Call no: e-copy only Record No: H049778)
(1.66 MB) (1.66 MB)
Estuarine shorelines similar to marine coastlines are highly dynamic and may increase disaster risk in vulnerable communities. The situation is expected to worsen with climate change impacts and increasing anthropogenic activities such as upstream water management. This study assessed shoreline changing trends along the Volta river estuary in Ghana as well as the marine coastline using satellite imageries, orthophotos and topographic maps spanning a period of 120 years (1895, 1990, 2000, 2005 and 2015). Linear regression method in the Digital Shoreline Analysis System (DSAS) was used to determine the estuary shoreline migration trend by estimating the shorelines rate of change for the eastern and western sides of the estuary. The rates of change of the marine coastlines on the east and west of the estuary were also estimated. The results show that the eastern and western shoreline of the estuary are eroding at an average rate of about 1.94 m/yr and 0.58 m/yr respectively. The coastlines on the marine side (eastern and western) are eroding at an average rate of about 2.19 m/yr and 0.62 m/yr respectively. Relatively high rates of erosion observed on the eastern estuarine shoreline as well as the coastline could be explained by the reduced sediment supply by the Volta River due to the damming of the Volta River in Akosombo and the sea defence structures constructed to manage erosion problems. The trend is expected to increase under changing oceanographic conditions and increased subsidence in the Volta delta. Effective management approach, such as developing disaster risk reduction strategy, should be adopted to increase the resilience of the communities along the estuarine shoreline and increase their adaptive capacity to climate change hazards and disasters.
(Location: IWMI HQ Call no: e-copy only Record No: H049892)
(1.05 MB) (1.05 MB)
Unmanned Aerial Vehicles (UAVs) are an alternative to costly and time-consuming traditional methods to improve agricultural water management and crop productivity through the acquisition, processing, and analyses of high-resolution spatial and temporal crop data at field scale. UAVs mounted with multispectral and thermal cameras facilitate the monitoring of crops throughout the crop growing cycle, allowing for timely detection and intervention in case of any anomalies. The use of UAVs in smallholder agriculture is poised to ensure food security at household level and improve agricultural water management in developing countries. This review synthesises the use of UAVs in smallholder agriculture in the smallholder agriculture sector in developing countries. The review highlights the role of UAV derived normalised difference vegetation index (NDVI) in assessing crop health, evapotranspiration, water stress and disaster risk reduction. The focus is to provide more accurate statistics on irrigated areas, crop water requirements and to improve water productivity and crop yield. UAVs facilitate access to agro-meteorological information at field scale and in near real-time, important information for irrigation scheduling and other on-field decision-making. The technology improves smallholder agriculture by facilitating access to information on crop biophysical parameters in near real-time for improved preparedness and operational decision-making. Coupled with accurate meteorological data, the technology allows for precise estimations of crop water requirements and crop evapotranspiration at high spatial resolution. Timely access to crop health information helps inform operational decisions at the farm level, and thus, enhancing rural livelihoods and wellbeing.
(Location: IWMI HQ Call no: IWMI Record No: H050008)
(6.21 MB)
This report presents a spatial analysis conducted at global scale to identify areas of high suitability for implementing the Underground Transfer of Floods for Irrigation (UTFI) approach. The study used multiple global spatial datasets, and the related data were arranged under three categories – water supply, water demand and water storage – to assess global UTFI suitability. Among the river basins with high suitability, the Awash in Ethiopia, Ramganga in India (one of the major tributaries of the Ganges River Basin) and Chao Phraya in Thailand were selected for the economic analysis in this study. The results from this study are intended to provide a first step towards identifying the broad areas (at the river basin or country scale) where more detailed investigation would be worthwhile to ascertain the technical and economic feasibility of UTFI, with greater confidence.
(Location: IWMI HQ Call no: e-copy only Record No: H050017)
(1.11 MB) (1.11 MB)
The Middle East and North Africa region experiences severe socioeconomic and political impacts during droughts and faces increasing drought risk in future climate projections. The UN Office for Disaster Risk Reduction’s Sendai Framework and the International Drought Management Programme provide a global standard (a norm) to manage droughts through natural hazard risk reduction approaches. We use participatory engagement to evaluate whether norm diffusion has taken place in four countries. Data were collected in interviews, focus groups, workshops, and policy documents. Analysis reveals incomplete norm diffusion; stakeholders subscribe to relevant values, but national policies and implementation do not fully reflect the norm. Process tracing reveals that the availability of drought early warning data is a key barrier to risk reduction. Further more, a drought early warning system would not be feasible or sufficient unless paired with policy measures and financial mechanisms to reduce the political and economic costs of a drought declaration.
(Location: IWMI HQ Call no: e-copy only Record No: H049600)
(37.70 MB) (37.7 MB)
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